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ICDCS
2008
IEEE
15 years 11 months ago
Toward Predictive Failure Management for Distributed Stream Processing Systems
Distributed stream processing systems (DSPSs) have many important applications such as sensor data analysis, network security, and business intelligence. Failure management is ess...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
150
Voted
BMCBI
2006
152views more  BMCBI 2006»
15 years 4 months ago
A two-stage approach for improved prediction of residue contact maps
Background: Protein topology representations such as residue contact maps are an important intermediate step towards ab initio prediction of protein structure. Although improvemen...
Alessandro Vullo, Ian Walsh, Gianluca Pollastri
JOCN
2010
99views more  JOCN 2010»
15 years 2 months ago
"Virus and Epidemic": Causal Knowledge Activates Prediction Error Circuitry
■ Knowledge about cause and effect relationships (e.g., virus– epidemic) is essential for predicting changes in the environment and for anticipating the consequences of events...
Daniela B. Fenker, Mircea Ariel Schoenfeld, Michae...
BMCBI
2010
118views more  BMCBI 2010»
15 years 4 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
BMCBI
2008
165views more  BMCBI 2008»
15 years 4 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...